# Can FTRL be applied on linear least squares? or is it just for logistic regression models?

Everywhere FTRL is mentioned, the loss surface for the gradient decent is the LogLoss, and the model for prediction is Logistic regression.

Can I use the same algorithm for a linear least squares model? I have a problem I want to model with a linear model and define the loss by least squares, and then do FTRL to find the optimal solution - do you see any problem with that?

Thanks.